Artificial Intelligence (AI) Engineer with UI/UX Experience

June 13, 2025

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Job Description

About ExpediteInfoTech, Inc. (EIT):

EIT is headquartered in Rockville, MD, and has been providing specialized technical, cybersecurity, IT, and financial advisory solutions to Federal, State, and County governments since 2012. Their clients include the US Department of Education, US Department of Transportation, US Department of Justice, US Department of Health & Human Services, Montgomery County government, Prince George’s County Government, the State of Maryland, and the District of Columbia. EIT is appraised at CMMI Level 3 for Services & Development and holds ISO 9001:2015, ISO 20000-1:2018, and ISO 27001:2022 certifications. They offer a competitive benefits package including medical, dental, vision, prescription drug coverage, paid time off, federal holidays, a matching 401(k) plan, and tuition/professional development reimbursement. EIT is an equal opportunity employer.

Job Description: Artificial Intelligence (AI) Engineer with UI/UX Experience

Job Title: Artificial Intelligence (AI) Engineer with UI/UX Experience
Location: Remote with occasional travel to client site in Baltimore. Candidates must currently live within a commutable distance of the office.
Employment Type: W2 on ExpediteInfoTech’s payroll (Permanent Resident or U.S. Citizen required, Public Trust Clearance process).

Position Overview:

A frontend-focused AI Engineer is responsible for building intuitive user interfaces for enterprise AI solutions, emphasizing creating interactive AI experiences, Financial platforms, and executive dashboards that support client engagement and AI adoption initiatives.

Key Responsibilities:

AI User Interface Development:
• Build responsive, interactive frontends for LLM-powered applications using React and modern web frameworks.
• Develop Streamlit applications for rapid AI prototyping and executive demonstrations.
• Create intuitive chat interfaces with real-time messaging, typing indicators, and conversation history.
• Design user-friendly interfaces for complex AI workflows, including RAG systems and agentic processes.
• Build Wireframes.
• Develop visual demonstrations of prompt engineering techniques and AI model behaviors.
• Create engaging interfaces for AI concept visualization and hands-on learning experiences.
• Build assessment tools and progress tracking for AI literacy programs.
Executive Dashboard & Reporting:
• Design executive-level dashboards for AI system performance monitoring and insights.
• Create visualization interfaces for AI model accuracy metrics, feedback analysis, and usage statistics.
• Build reporting tools for Executive Order compliance tracking and implementation status.
• Develop real-time monitoring interfaces for AI system health and performance metrics.
User Experience & Integration:
• Integrate frontend applications with backend AI services via REST APIs and WebSocket connections.
• Implement user authentication, session management, and role-based access controls.
• Optimize frontend performance for AI applications with large data sets and real-time responses.
• Ensure responsive design across desktop, tablet, and mobile platforms.
Collaboration & Support:
• Work closely with backend developers to define API requirements and data structures.
• Create intuitive AI interaction patterns.
• Support client demonstrations and training sessions with polished, professional interfaces.
• Gather user feedback and iterate on interface designs for improved AI adoption.

Required Qualifications:

• 10+ years of IT experience.
• 3+ years of experience as an AI Engineer.
• 2+ years of experience in UI/UX development for AI projects.
Frontend Development (Minimum 3 Years):
• React: Advanced proficiency in React.js, hooks, state management, and component architecture.
• Modern Web Technologies: HTML5, CSS3, JavaScript ES6+, responsive design principles.
• Streamlit: Experience building AI-focused applications and interactive demos.
• API Integration: RESTful services, WebSocket connections, and asynchronous data handling.
• Version Control: GitHub workflows and collaborative development practices.
AI Interface Expertise (Minimum 3 Years):
• Chat Interfaces: Building conversational UI/UX with message threading and context awareness.
• AI Visualization: Creating interfaces for prompt engineering, model outputs, and AI workflows.
• Real-time Applications: WebSocket implementation for live AI interactions and streaming responses.
• Data Visualization: Charts, graphs, and interactive displays for AI metrics and analytics.
• User Experience: Understanding AI user interaction patterns and cognitive load considerations.
Cloud & Development Environment:
• AWS Integration: Frontend deployment on AWS (S3, CloudFront, API Gateway). Large Language Model (LLM) Ops, Amazon SageMaker, retrieval-augmented generation (RAG), and FedRAMP High-compliant cloud architectures within AWS GovCloud.
• CI/CD: Automated deployment pipelines and version management.
• Testing: Frontend testing frameworks and user acceptance testing.
Education Requirements:
• Bachelor of Science in Computer Science, Web Development, Human-Computer Interaction, or related field.

Preferred Qualifications:

• Additional Frameworks: Vue.js, Angular, or other modern frontend frameworks
• Docker: Containerization for consistent development environments
• UI/UX Design: Design system implementation, accessibility standards (WCAG)
• Python: Basic understanding for Streamlit customization and backend collaboration
• Mobile Development: React Native or progressive web app experience

Technical Environment:

• Modern frontend stack with React, TypeScript, and cloud deployment
• Integration with AWS Bedrock, custom LLM APIs, and real-time AI services
• Collaborative development with GitHub, automated testing, and continuous deployment
• Cross-browser compatibility and mobile-responsive design requirements

Work Environment:

• Remote with occasional onsite client demonstration requirements
• Collaborative team environment working closely with AI/ML engineers
• Fast-paced environment supporting executive-level initiatives and client Financial systems
• Regular interaction with non-technical stakeholders requires clear communication skills